Top research

The research at the department combines theory with interaction with the application fields in a well-balanced whole. Both the department and Basic Research Unit in the Helsinki Institute for Information Technology were awarded the highest grade in the research review carried out in 2005. Algodan (Algorithmic Data Analysis) is a national Finnish Academy centre of excellence 2008-2013.

In research, the following key areas will be emphasized in the 2010-12 period:
 
- Data analysis. Method development and applications in modern data analysis: machine learning, data mining, information-theoretic modelling. The research into this topic has long traditions, and the research at the department is a world leader in this area.
 
- Networking and services. Research into networked systems and their premises: middleware (including service and application platforms, management of middleware, trust, and safety), mobility (independence of technology and location, wireless communications), information networks, service networks, context-awareness and ubiquitous computing. This area combines the department's traditional research into wireless and mobile computing with new emerging research themes such as middleware and ubiquitous computing. The focus of the research is moving from protocols towards the problems of the application level and their solutions.
 
-Software research. The research into this area will grow considerably during the next three-year period, both in applied and basic research. The focus of software research is on the global development and processes of software, systems of open source code and web technologies and their utilisation, parallel programming, sustainable software technologies and their applicability. During the strategy period, we will strive for world-class skills and networking in each key area.
 
It is possible that pioneering key areas will be considered during the strategy period. We have, among other opportunities, two vacant professorships that we can direct into new focal areas.

Created date

05.02.2010 - 11:47

Malware Insights: Android Infection Rates and Techniques for Identifying Unknown Malware

In the second research result of the month, we report on the recent results in understanding mobile malware. The research was presented and published in the prestigious World Wide Web conference in April 2014.

Theoretical advances for comparative genomics

The Department has started a new “Research result of the month” series written by Professor and Deputy Head Sasu Tarkoma. In the first result of the month report, we interview Dr. Djamal Belazzougui about his recent accepted scientific article in the prestigious STOC conference, the ACM Symposium on the Theory of Computing.

Software Factory Speeds up Ruby on Rails

Software Factory, the experimental R&D laboratory at the University of Helsinki, successfully continues its open source collaboration with the software industry, open source community, and leading universities like Stanford University and MIT.

After Facebook visit, studying looks like work

University research and education laboratory Software Factory has launched a new kind of Open Source collaboration with the software industry and leading universities like Stanford University and MIT.

How do we keep students engaged until graduation, and how could young people be offered something they cannot already learn at work? These are big enough challenges for more than one university.